Marcelo Cecim

765 citations
42 papers · 636 · h-index 14

Impact in

Papers in

Marcelo Cecim

40 papers receiving 583 citations

Peers

Marcelo Cecim
Comparison fields: 5 of 85
  • Aging 57
  • Endocrinology, Diabetes and Metabolism 294
  • Genetics 244
  • Reproductive Medicine 64
  • Behavioral Neuroscience 17
Replace Judith Grizzle with:
Judith Grizzle United States
Monique Tomazele Rovani Brazil
Joao Alveiro Alvarado Rincón Brazil
Zhengxing Lian China
G. Cabello France
Diane B. Forsythe United States
Yosuke Kikuchi Japan
Kazumi Kita Japan
I.F. Lau United States
G. Kuhn Germany
Marcelo Cecim relative to Judith Grizzle United States Judith Grizzle's profile →
Citations per field
00.5×2×4×5.7×
Judith Grizzle · 1×
Citations per year

Countries citing papers authored by Marcelo Cecim

Since Specialization
Citations

This map shows the geographic impact of Marcelo Cecim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcelo Cecim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Cecim more than expected).

Fields of papers citing papers by Marcelo Cecim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Cecim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcelo Cecim. The network helps show where Marcelo Cecim may publish in the future.

Co-authors

The 25 scholars most cited alongside Marcelo Cecim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcelo Cecim Line = papers co-authored together Marcelo Cecim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Premature ageing in transgenic mice expressing different growth hormone genes.
1993108
2 199497
3 199259
4 199551
5 199537
6 200435
7 199230
8 199525
9 199622
10 201121
11 199217
12 200215
13
Efeito protetor do syzygium cumini contra diabetes mellitus induzido por aloxano em ratos
200213
14 200513
15 200011
16
Susceptibilidade à mastite: Fatores que a influenciam - Uma revisão
200210
17 20139
18 20087
19 20037
20 20076

About Marcelo Cecim

Marcelo Cecim is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Small Animals and Animal Science and Zoology, having authored 42 papers that have together received 636 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (9 papers), Natural Antidiabetic Agents Studies (6 papers), Helminth infection and control (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Virus-based gene therapy research (4 papers), Animal Nutrition and Physiology (3 papers), CRISPR and Genetic Engineering (3 papers) and Soil Management and Crop Yield (2 papers). The work is most often cited by research in Aging (57 citations), Endocrinology, Diabetes and Metabolism (294 citations), Genetics (244 citations), Reproductive Medicine (64 citations) and Behavioral Neuroscience (17 citations). Marcelo Cecim has collaborated with scholars based in Brazil, United States and Chile. Frequent co-authors include Andrzej Bartke, J. B. Kerr, Richard W. Steger, Thomas E. Wagner, Daniel Turyn, A. Bartke, V. Chandrashekar, June Yun, Lise C. Johnson and Júlio César Mendes Soares. Their work appears in journals such as Biology of Reproduction, Endocrinology, Veterinary Clinical Pathology, Biological Trace Element Research and Reproduction.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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